Metadata Systems for Data Lakes: Models and Features
Résumé
Over the past decade, the data lake concept has emerged as an alternative to data warehouses for storing and analyzing big data. A data lake allows storing data without any predefined schema. Therefore, data querying and analysis depend on a metadata system that must be efficient and comprehensive. However, metadata management in data lakes remains a current issue and the criteria for evaluating its effectiveness are more or less nonexistent.
In this paper, we introduce MEDAL, a generic, graph-based model for metadata management in data lakes. We also propose evaluation criteria for data lake metadata systems through a list of expected features. Eventually, we show that our approach is more comprehensive than existing metadata systems.
Domaines
Base de données [cs.DB]
Fichier principal
bbigap2019.pdf (314.59 Ko)
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ADBIS_BBIGAP_presentation.pdf (385.33 Ko)
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